TY - JOUR
T1 - Source localization in shallow water in the presence of sensor depth uncertainty
AU - Jakoby, Assi
AU - Goldberg, Jason
AU - Messer, Hagit
N1 - Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 1998
Y1 - 1998
N2 - This paper studies passive source localization performance in shallow water using a vertical array whose sensor depths are unknown. The performance degradation with respect to the case of known sensor depths is studied via the Cramer-Rao Bound for a single far field narrow band source. Examination of the bound indicates that there is no inherent singularity in the Fisher Information Matrix due to uncertainty in the sensor depths (as opposed to the case of localization in free space). Numerical examples show that the performance degradation in source localization due to the need to estimate the sensor depths in a typical scenario is approximately 3-5dB.
AB - This paper studies passive source localization performance in shallow water using a vertical array whose sensor depths are unknown. The performance degradation with respect to the case of known sensor depths is studied via the Cramer-Rao Bound for a single far field narrow band source. Examination of the bound indicates that there is no inherent singularity in the Fisher Information Matrix due to uncertainty in the sensor depths (as opposed to the case of localization in free space). Numerical examples show that the performance degradation in source localization due to the need to estimate the sensor depths in a typical scenario is approximately 3-5dB.
UR - http://www.scopus.com/inward/record.url?scp=0342930937&partnerID=8YFLogxK
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AN - SCOPUS:0342930937
SN - 2219-5491
VL - 1998-January
JO - European Signal Processing Conference
JF - European Signal Processing Conference
T2 - 9th European Signal Processing Conference, EUSIPCO 1998
Y2 - 8 September 1998 through 11 September 1998
ER -